值错误：标签的长度必须为'x'python 3

Question

我知道有人问过类似的问题，但是我已经测试了所有解决方案，但仍然给我相同的错误，即值错误：标签的长度必须为'x'。下面是必要时的代码和数据集的摘要。

data=[['E001', 'M', 34, 123,'Normal',350],
      ['E002', 'F', 40, 114, 'Overweight', 450],
      ['E003', 'F', 37, 135, 'Obesity', 169],
      ['E004', 'M', 30, 139, 'Underweight',189],
      ['E005', 'F', 44, 117, 'Underweight',183],
      ['E006', 'M', 36, 121, 'Normal', 80],
      ['E007', 'M', 33, 133, 'Obesity', 166],
      ['E008', 'F', 26, 140, 'Normal', 120],
      ['E009', 'M', 32, 133, 'Normal', 75],
      ['E0010','M', 36, 133, 'Underweight', 40]]

df=pd.DataFrame(data,columns=['EMPID','Gender','Age','Sales','BMI','Income'])

label=list(df.columns.values)
print(label)
plt.pie(df['Age'],labels=label,autopct='%1.1f%%', shadow=True)
plt.show()

Answer 1

在标签中，您需要通过df['Age']，以便显示每个年龄的百分比

data=[['E001', 'M', 34, 123,'Normal',350],
      ['E002', 'F', 40, 114, 'Overweight', 450],
      ['E003', 'F', 37, 135, 'Obesity', 169],
      ['E004', 'M', 30, 139, 'Underweight',189],
      ['E005', 'F', 44, 117, 'Underweight',183],
      ['E006', 'M', 36, 121, 'Normal', 80],
      ['E007', 'M', 33, 133, 'Obesity', 166],
      ['E008', 'F', 26, 140, 'Normal', 120],
      ['E009', 'M', 32, 133, 'Normal', 75],
      ['E0010','M', 36, 133, 'Underweight', 40]]

df=pd.DataFrame(data,columns=['EMPID','Gender','Age','Sales','BMI','Income'])

label=list(df.columns.values)
print(label)
plt.pie(df['Age'],labels=df['Age'],autopct='%1.1f%%', shadow=True)
plt.show()

输出

Answer 2

您的df [“ age”]必须与标签列表的长度相同。 在下面运行此代码，并查看其工作原理。

import pandas as pd
import matplotlib.pyplot as plt

data=[['E001', 'M', 34, 123,'Normal',350],
          ['E002', 'F', 40, 114, 'Overweight', 450],
          ['E003', 'F', 37, 135, 'Obesity', 169],
          ['E004', 'M', 30, 139, 'Underweight',189],
          ['E005', 'F', 44, 117, 'Underweight',183],
          ['E006', 'M', 36, 121, 'Normal', 80],
          ['E007', 'M', 33, 133, 'Obesity', 166],
          ['E008', 'F', 26, 140, 'Normal', 120],
          ['E009', 'M', 32, 133, 'Normal', 75],
          ['E0010','M', 36, 133, 'Underweight', 40]]

df=pd.DataFrame(data,columns=['EMPID','Gender','Age','Sales','BMI','Income'])
df.head()
label=list(df.columns.values)
print(label)
new_list = list(df['Age'])
plt.pie(new_list[4:],labels=label,autopct='%1.1f%%', shadow=True)
plt.show()